How do you know if there isn't a solution to a calculus optimization problem?

In summary, the teacher explained that it is possible to have no solution to an optimization problem, as shown in the example of finding the maximum volume for a rolled open cylinder. This is because the function representing the volume has no critical points other than the trivial case, so the volume will continue to grow unbounded.
  • #1
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My teacher was saying that it is possible to have no solution to an optimization problem, and I was curious about how this could be possible. Could someone please explain and possibly give an example?
 
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  • #2
Here are two examples:

Find maximum value of function [itex]f(x) = x [/itex]

Note that nowhere is the derivative zero or undefined (no critical points). Note also that no boundary is given. At best you can say the maximum occurs in the limit as [itex]x \to \infty[/itex].

Find maximum value of function [itex]f(x)=x^3[/itex]

Here we have a critical point at [itex] x = 0[/itex] but note it is an inflection point. Testing points to each side will tell you it is not a local min or max. Again given no boundaries you get no absolute maximum or minimum when you check the behavior as [itex] x \to \pm \infty[/itex]

Third example: Find the absolute maxima and minima of [itex] f(x) = 1/x [/itex] on the interval [itex] -1 \le x \le 1[/itex]. Again you see a critical point at x=0 where the derivative is undefined. However the function is also undefined there and you see that it has a vertical asymptote there. Since the asymptote is two sided going to [itex]\infty[/itex] on one side and [itex] -\infty[/itex] on the other then there is no maximum or minimum value.
 
  • #3
Well my teachr gave us the example:
A Piece of paper with an area of 100in is to be rolled into an open cylinder with a maximum volume. What dimensions should the paper have to accomplish this. When we solved it in class he said there was no solution but I don't understand why. Could you explain?
 
  • #4
In general, this would be because the function that describes the volume of the cylinder is proportional to r2. The derivative of this function, which tells you where the maximum would be, is proportional to r. The derivative function will only be zero when r = 0, the trivial case. Since there is no other example where the derivative function is zero, i.e. no other critical points, there cannot be a maximum to the volume.
 
  • #5
Steely Dan said:
In general, this would be because the function that describes the volume of the cylinder is proportional to r2. The derivative of this function, which tells you where the maximum would be, is proportional to r. The derivative function will only be zero when r = 0, the trivial case. Since there is no other example where the derivative function is zero, i.e. no other critical points, there cannot be a maximum to the volume.

I'm sorry but I'm not really understanding what are you are saying here. Could you possibly rephrase it or simplify it?
 
  • #6
The function representing the volume is monotonic, it doesn't have any critical points.
V=50r in this case or V=b*50/2pi where b is one of the sides of the paper. It only means that the volume will grow unbounded because you can increase b as much as you want, (the condition for the other side a=100/b can still be satisfied.)
 

FAQ: How do you know if there isn't a solution to a calculus optimization problem?

How do you determine if a calculus optimization problem has a solution?

There are several methods for determining if a calculus optimization problem has a solution. One way is to analyze the function and its derivatives to see if there are any critical points or points where the derivative is equal to zero. Another approach is to use the first or second derivative test to determine if these points are maximum or minimum values. Additionally, you can graph the function and visually determine if there is a maximum or minimum value.

What if there are multiple critical points or points where the derivative is equal to zero?

If there are multiple critical points, you will need to test each point using the first or second derivative test to determine which one is the maximum or minimum value. It is also possible for there to be no maximum or minimum value if the function has a vertical asymptote or has no end behavior.

Can a calculus optimization problem have more than one solution?

Yes, it is possible for a calculus optimization problem to have multiple solutions. This can occur if the function has multiple critical points that are all maximum or minimum values. It can also happen if the function has symmetry, resulting in multiple points where the derivative is equal to zero.

How do you know if a solution to a calculus optimization problem is a global maximum or minimum?

To determine if a solution is a global maximum or minimum, you can use the first or second derivative test. If the test shows that the point is a maximum or minimum value, you can then check the behavior of the function at the boundaries and determine if the solution is the largest or smallest value for the entire function.

Can a calculus optimization problem have no solution?

Yes, it is possible for a calculus optimization problem to have no solution. This can occur if the function has no end behavior, has a discontinuity, or has a vertical asymptote. In these cases, the function does not have a maximum or minimum value and therefore, there is no solution to the optimization problem.

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